AI Solutions Engineer

What you'll do

• Develop and productionize domain-specific generative-AI software, including RAG and AI agents, and integrate it into products and processes.
• Promote responsible AI through usage monitoring, bias mitigation, and collaboration with compliance, legal, and ethics teams.
• Lead AI enablement through training, self-service resources, coaching, and user-feedback-driven improvements.

What they ask for

• B.S. in Computer Science/AI/ML or related field, with 3+ years of AI/ML engineering experience.
• Proficiency in programming languages such as Python; understanding of LLMs, multimodal models, prompt engineering, RAG, and AI agents.
• Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace, and deploying and scaling AI agents in production.
• Ability to lawfully access information and technology subject to US export controls.

Nice to have

• M.S. in Computer Science, AI, ML, or related field; proficiency in TypeScript.
• Knowledge of ethical AI, compliance frameworks, and safety standards; multimodal pipelines, traditional AI/ML methods, or hands-on MLOps with CI/CD, Docker, and Kubernetes.

Pay

$122,430 — $168,340 USD (base salary)

Tools

Python, vLLM, LangChain, PyTorch, HuggingFace, TypeScript, Docker, Kubernetes

AI focus

Develop and productionize generative-AI, LLM, multimodal, RAG, and agentic solutions; lead internal AI adoption and promote responsible use.